Articles | Volume 21, issue 20
https://doi.org/10.5194/acp-21-15969-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-15969-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Oct 2021
Research article |
| 27 Oct 2021
| 27 Oct 2021
Fluorescent biological aerosol particles over the central Pacific Ocean: covariation with ocean surface biological activity indicators
Earth Surface System Research Center, Research Institute for Global
Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan
Kazuhiko Matsumoto
Earth Surface System Research Center, Research Institute for Global
Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan
Fumikazu Taketani
Earth Surface System Research Center, Research Institute for Global
Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan
Takuma Miyakawa
Earth Surface System Research Center, Research Institute for Global
Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan
Yugo Kanaya
Earth Surface System Research Center, Research Institute for Global
Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan
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Preprint withdrawn
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Reliable values of mass absorption cross sections (MAC) of black carbon (BC) are required to determine mass concentrations of BC at Arctic sites using different types of filter-based absorption photometers. We successfully estimated MAC values for these instruments through comparison with independent measurements of BC by continuous soot monitoring system called COSMOS. These MAC values are consistent with each other and applicable to study spatial and temporal variation of BC in the Arctic.
Gaia Pinardi, Michel Van Roozendael, François Hendrick, Nicolas Theys, Nader Abuhassan, Alkiviadis Bais, Folkert Boersma, Alexander Cede, Jihyo Chong, Sebastian Donner, Theano Drosoglou, Anatoly Dzhola, Henk Eskes, Udo Frieß, José Granville, Jay R. Herman, Robert Holla, Jari Hovila, Hitoshi Irie, Yugo Kanaya, Dimitris Karagkiozidis, Natalia Kouremeti, Jean-Christopher Lambert, Jianzhong Ma, Enno Peters, Ankie Piters, Oleg Postylyakov, Andreas Richter, Julia Remmers, Hisahiro Takashima, Martin Tiefengraber, Pieter Valks, Tim Vlemmix, Thomas Wagner, and Folkard Wittrock
Atmos. Meas. Tech., 13, 6141–6174, https://doi.org/10.5194/amt-13-6141-2020, https://doi.org/10.5194/amt-13-6141-2020, 2020
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We validate several GOME-2 and OMI tropospheric NO2 products with 23 MAX-DOAS and 16 direct sun instruments distributed worldwide, highlighting large horizontal inhomogeneities at several sites affecting the validation results. We propose a method for quantification and correction. We show the application of such correction reduces the satellite underestimation in almost all heterogeneous cases, but a negative bias remains over the MAX-DOAS and direct sun network ensemble for both satellites.
Yongjoo Choi, Yugo Kanaya, Masayuki Takigawa, Chunmao Zhu, Seung-Myung Park, Atsushi Matsuki, Yasuhiro Sadanaga, Sang-Woo Kim, Xiaole Pan, and Ignacio Pisso
Atmos. Chem. Phys., 20, 13655–13670, https://doi.org/10.5194/acp-20-13655-2020, https://doi.org/10.5194/acp-20-13655-2020, 2020
Kazuyuki Miyazaki, Kevin Bowman, Takashi Sekiya, Henk Eskes, Folkert Boersma, Helen Worden, Nathaniel Livesey, Vivienne H. Payne, Kengo Sudo, Yugo Kanaya, Masayuki Takigawa, and Koji Ogochi
Earth Syst. Sci. Data, 12, 2223–2259, https://doi.org/10.5194/essd-12-2223-2020, https://doi.org/10.5194/essd-12-2223-2020, 2020
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This study presents the results from the Tropospheric Chemistry Reanalysis version 2 (TCR-2) for 2005–2018 obtained from the assimilation of multiple satellite measurements of ozone, CO, NO2, HNO3, and SO2 from the OMI, SCIAMACHY, GOME-2, TES, MLS, and MOPITT instruments. The evaluation results demonstrate the capability of the reanalysis products to improve understanding of the processes controlling variations in atmospheric composition, including long-term changes in air quality and emissions.
Cited articles
Alldredge, A. L., Passow, U., and Logan, B. E.: The abundance and significance of
a class of large, transparent organic particles in the ocean, Deep-Sea Res.
Pt. I, 40, 6, 1131–1140, 1993.
Aller, J. Y., Radway, J. C., Kilthau, W. P., Bothe, D. W., Wilson, T. W., Vaillancourt, R. D., Quinn, P. K., Coffman, D. J., Murray, B. J., and Knopf, D. A.: Size-resolved characterization of the polysaccharidic and proteinaceous components of sea spray aerosol, Atmos. Environ., 154, 331–347, 2017.
Araujo, M. L. V., Mendes, C. R. B., Tavano, V. M., Garcia, C. A. E., and
Baringer, M. O. N.: Contrasting patterns of phytoplankton pigments and chemotaxonomic
groups along 30∘ S in the subtropical South Atlantic Ocean,
Deep-Sea Res. Pt. I, 120, 112–121,
https://doi.org/10.1016/j.dsr.2016.12.004, 2017.
Bourgeois, I., Peischl, J., Thompson, C. R., Aikin, K. C., Campos, T., Clark, H., Commane, R., Daube, B., Diskin, G. W., Elkins, J. W., Gao, R.-S., Gaudel, A., Hintsa, E. J., Johnson, B. J., Kivi, R., McKain, K., Moore, F. L., Parrish, D. D., Querel, R., Ray, E., Sánchez, R., Sweeney, C., Tarasick, D. W., Thompson, A. M., Thouret, V., Witte, J. C., Wofsy, S. C., and Ryerson, T. B.: Global-scale distribution of ozone in the remote troposphere from the ATom and HIPPO airborne field missions, Atmos. Chem. Phys., 20, 10611–10635, https://doi.org/10.5194/acp-20-10611-2020, 2020.
Burrows, S. M., Elbert, W., Lawrence, M. G., and Pöschl, U.: Bacteria in the global atmosphere – Part 1: Review and synthesis of literature data for different ecosystems, Atmos. Chem. Phys., 9, 9263–9280, https://doi.org/10.5194/acp-9-9263-2009, 2009.
Burrows, S. M., Hoose, C., Pöschl, U., and Lawrence, M. G.: Ice nuclei in marine air: biogenic particles or dust?, Atmos. Chem. Phys., 13, 245–267, https://doi.org/10.5194/acp-13-245-2013, 2013.
Campbell, L., Liu, H., Nolla, H. A., and Vaulot, D.: Annual variability of
phytoplankton and bacteria in the subtropical North Pacific Ocean at station
ALOHA during the 1991–1994 ENSO event, Deep-Sea Res., 44, 167–192,
1997.
Cisternas-Novoa, C., Lee, C., and Engel, A.: Transprent exopolymer particles
(TEP) and Coomassie stainable particles (CSP): Differences between their
origin and vertical distributions in the ocean, Mar. Chem., 175,
56–71, 2015.
Crawford, I., Lloyd, G., Herrmann, E., Hoyle, C. R., Bower, K. N., Connolly, P. J., Flynn, M. J., Kaye, P. H., Choularton, T. W., and Gallagher, M. W.: Observations of fluorescent aerosol–cloud interactions in the free troposphere at the High-Altitude Research Station Jungfraujoch, Atmos. Chem. Phys., 16, 2273–2284, https://doi.org/10.5194/acp-16-2273-2016, 2016.
Creamean, J. M., Cross, J. N., Pickart, R., McRaven, L., Lin, P., Pacini, A.,
Hanlon, R., Schmale, D. G., Ceniceros, J., Aydell, T., Colombi, N., Bolger, E., and DeMott, P. J.: Ice Nucleating Particles Carried From Below a Phytoplankton Bloom to the Arctic Atmosphere, Geophys. Res. Lett., 14, 8572–8581,
https://doi.org/10.1029/2019GL083039, 2019.
DARWIN: cruises information and dataset, JAMSTEC, https://doi.org/10.17596/0001976, 2021.
de Leeuw, G., Andreas, E. L., Anguelova, M. D., Fairall, C. W., Lewis, E. R.,
O'Dowd, C., Schulz, M., and Schwartz, S. E.: Production flux of sea spray
aerosol, Rev. Geophys., 49, RG2001, https://doi.org/10.1029/2010RG000349, 2011.
Deng, W., Cruz, B. N., and Neuer, S.: Effects of nutrient limitation on cell
growth, TEP production and aggregate formation of marine Synechococcus,
Aquat. Microb. Ecol. 78, 39–49, https://doi.org/10.3354/ame01803, 2016.
Engel, A., Borchard, C., Loginova, A., Meyer, J., Hauss, H., and Kiko, R.: Effects of varied nitrate and phosphate supply on polysaccharidic and proteinaceous gel particle production during tropical phytoplankton bloom experiments, Biogeosciences, 12, 5647–5665, https://doi.org/10.5194/bg-12-5647-2015, 2015.
Engel, A. and Galgani, L.: The organic sea-surface microlayer in the upwelling region off the coast of Peru and potential implications for air–sea exchange processes, Biogeosciences, 13, 989–1007, https://doi.org/10.5194/bg-13-989-2016, 2016.
Fröhlich-Nowoisky, J., Kampf, C. J., Weber, B., Huffmann, J. A.,
Pöhlker, C., Andreae, M. O., Lang-Yona, N., Burrows, S. M., Gunthe, S. S.,
Elbert, W., Su, H., Hoor, P., Thines, E., Hoffmann, T., Després, V. R., and
Pöschl, U.: Bioaerosols in the earth system: Climate, health, and ecosystem
interactions, Atmos. Res., 182, 346–376, 2016.
Gabey, A. M., Gallagher, M. W., Whitehead, J., Dorsey, J. R., Kaye, P. H., and Stanley, W. R.: Measurements and comparison of primary biological aerosol above and below a tropical forest canopy using a dual channel fluorescence spectrometer, Atmos. Chem. Phys., 10, 4453–4466, https://doi.org/10.5194/acp-10-4453-2010, 2010.
Gabey, A. M., Stanley, W. R., Gallagher, M. W., and Kaye, P. H.: The fluorescence properties of aerosol larger than 0.8 µm in urban and tropical rainforest locations, Atmos. Chem. Phys., 11, 5491–5504, https://doi.org/10.5194/acp-11-5491-2011, 2011.
Gantt, B., Meskhidze, N., Facchini, M. C., Rinaldi, M., Ceburnis, D., and O'Dowd, C. D.: Wind speed dependent size-resolved parameterization for the organic mass fraction of sea spray aerosol, Atmos. Chem. Phys., 11, 8777–8790, https://doi.org/10.5194/acp-11-8777-2011, 2011.
Gärdes, A., Ramaye, Y., Grossart, H.-P., Passow, U., and Ullrich, M. S.: Effects
of Marinobacter adhaerens HP15 on polymer exudation by Thalassiosira
weissflogii at different N : P ratios, Mar. Ecol. Prog. Ser., 461, 1–14, 2012.
Gosselin, M. I., Rathnayake, C. M., Crawford, I., Pöhlker, C., Fröhlich-Nowoisky, J., Schmer, B., Després, V. R., Engling, G., Gallagher, M., Stone, E., Pöschl, U., and Huffman, J. A.: Fluorescent bioaerosol particle, molecular tracer, and fungal spore concentrations during dry and rainy periods in a semi-arid forest, Atmos. Chem. Phys., 16, 15165–15184, https://doi.org/10.5194/acp-16-15165-2016, 2016.
Grythe, H., Ström, J., Krejci, R., Quinn, P., and Stohl, A.: A review of sea-spray aerosol source functions using a large global set of sea salt aerosol concentration measurements, Atmos. Chem. Phys., 14, 1277–1297, https://doi.org/10.5194/acp-14-1277-2014, 2014.
Healy, D. A., O'Connor, D. J., Burke, A. M., and Sodeau, J. R.: A laboratory
assessment of the Waveband integrated bioaerosol sensor (WIBS-4) using
individual samples of pollen and fungal spore material, Atmos. Environ., 60,
534–543, 2012.
Hernandez, M., Perring, A. E., McCabe, K., Kok, G., Granger, G., and Baumgardner, D.: Chamber catalogues of optical and fluorescent signatures distinguish bioaerosol classes, Atmos. Meas. Tech., 9, 3283–3292, https://doi.org/10.5194/amt-9-3283-2016, 2016.
Hoose, C. and Möhler, O.: Heterogeneous ice nucleation on atmospheric aerosols: a review of results from laboratory experiments, Atmos. Chem. Phys., 12, 9817–9854, https://doi.org/10.5194/acp-12-9817-2012, 2012.
Hu, W., Murata, K., Fukuyama, S., Kawai, Y., Oka, E., Uematsu, M., and Zhang, D.:
Concentration and viability of airborne bacteria over the Kuroshio extension
region in the northwestern Pacific Ocean: Data from three cruises, J.
Geophys. Res.-Atmos., 122, 12892–12905, https://doi.org/10.1002/2017JD027287, 2017.
Huffman, J. A., Perring, A. E., Savage, N. J., Clot, B., Crouzy, B., Tummon, F., Shoshanim, O., Damit, B.,Schneider, J., Sivaprakasam, V., Zawadowicz, M. A., Crawford, I., Gallagher, M., Topping, D., Doughty, D. C., Hill, S. C., and Pan, Y.: Real-time sensing of bioaerosols: Review and current perspective, Aerosol Sci. Tech., 54, 465–495, https://doi.org/10.1080/02786826.2019.1664724
Jaeglé, L., Quinn, P. K., Bates, T. S., Alexander, B., and Lin, J.-T.: Global distribution of sea salt aerosols: new constraints from in situ and remote sensing observations, Atmos. Chem. Phys., 11, 3137–3157, https://doi.org/10.5194/acp-11-3137-2011, 2011.
Jaenicke, R.: Abundance of cellular material and proteins in the atmosphere,
Science, 308, 5718, https://doi.org/10.1126/science.1106335, 2005.
Kanaya, Y., Miyazaki, K., Taketani, F., Miyakawa, T., Takashima, H., Komazaki, Y., Pan, X., Kato, S., Sudo, K., Sekiya, T., Inoue, J., Sato, K., and Oshima, K.: Ozone and carbon monoxide observations over open oceans on R/V Mirai from 67° S to 75° N during 2012 to 2017: testing global chemical reanalysis in terms of Arctic processes, low ozone levels at low latitudes, and pollution transport, Atmos. Chem. Phys., 19, 7233–7254, https://doi.org/10.5194/acp-19-7233-2019, 2019.
Kawana, K., Matsumoto, K., Taketani, F., Miyakawa, T., and Kanaya, Y.: Distributions of Fluorescent bioaerosol particles and marine biological indicators over the central Pacific Ocean in March 2019, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.936678, 2021.
Könemann, T., Savage, N., Klimach, T., Walter, D., Fröhlich-Nowoisky, J., Su, H., Pöschl, U., Huffman, J. A., and Pöhlker, C.: Spectral Intensity Bioaerosol Sensor (SIBS): an instrument for spectrally resolved fluorescence detection of single particles in real time, Atmos. Meas. Tech., 12, 1337–1363, https://doi.org/10.5194/amt-12-1337-2019, 2019.
Landry, M. R. and Kirchman, D. L.: Microbial community structure and
variability in the tropical Pacific, Deep-Sea Res. Pt. 2, 49, 2669–2693,
2002.
Mackey, M. D., Mackey, D. J., Higgins, H. W., and Wright, S. W.: CHEMTAX – a
program for estimating class abundances from chemical markers: application
to HPLC measurements of phytoplankton, Mar. Ecol. Prog. Ser., 144, 265–283,
1996.
Maki, T., Hara, K., Yamada, M., Kobayashi, F., Hasegawa, H., and Iwasaka, Y.:
Epifluorescent microscopic observation of aerosol, Earozoru Kenkyu, 28,
201–207, 2013.
Marie, D., Partensky, F., Jacquet, S., and Vaulot, D.: Enumeration and Cell
Cycle Analysis of Natural Populations of Marine Picoplankton by Flow
Cytometry Using the Nucleic Acid Stain SYBR Green I, Appl.
Environ. Microb., 63, 186–193, 1997.
Mason, R. H., Si, M., Li, J., Chou, C., Dickie, R., Toom-Sauntry, D., Pöhlker, C., Yakobi-Hancock, J. D., Ladino, L. A., Jones, K., Leaitch, W. R., Schiller, C. L., Abbatt, J. P. D., Huffman, J. A., and Bertram, A. K.: Ice nucleating particles at a coastal marine boundary layer site: correlations with aerosol type and meteorological conditions, Atmos. Chem. Phys., 15, 12547–12566, https://doi.org/10.5194/acp-15-12547-2015, 2015.
Mayol, E., Arrieta, J. M., Jiménez, M. A., Martínez-Asensio, A., Garcias-Bonet, N., Dachs, J., González-Gaya, B., Royer, S.-J., Benítez-Barrios, V. M., Fraile-Nuez, E., and Duarte, C. M.: Long-range transport of airborne microbes over the global tropical and subtropical ocean, Nature Communications, 8, 201, https://doi.org/10.1038/s41467-017-00110-9, 2017.
Monahan, E. C., Spiel, D. E., and Davidson, K. L.: A Model of Marine Aerosol Generation via Whitecaps and Wave Disruption, Oceanographic Sciences Library, Springer, Dordrecht, the Netherlands, 167–174, https://doi.org/10.1007/978-94-009-4668-2_16, 1986.
Murray, B. J., O'Sullivan, D., Atkinson, J. D., and Webb, M. E.: Ice nucleation by
particles immersed in supercooled cloud droplets, Chem. Soc. Rev., 41,
6519–6554, 2012.
Nishimura, M., Shimokita, T., Kamiya, E., Tashiro, Y., and Kogure, K.: Use of an
automatic cell-counting system with LED illumination for enumeration of
marine bacteria, Fisheries Sci., 72, 723–727, https://doi.org/10.1111/j.1444-2906.2006.01210.x, 2006.
O'Connor, D. J., Healy, D. A., and Sodeau, J. R.: The on-line detection of
biological particle emissions from selected agricultural materials using the
WIBS-4 (Waveband Integrated Bioaerosol Sensor) technique, Atmos. Environ.,
80, 415–425, 2013.
Ovadnevaite, J., Ceburnis, D., Canagaratna, M., Berrescheim, H., Bialek, J.,
Martucci, G., Worsnop, D. R., and O'Dowd, C.: On the effect of wind speed on
submicron sea salt mass concentrations and source fluxes, J. Geophys. Res.,
117, D16201, https://doi.org/10.1029/2011JD017379, 2012.
Passow, U.: Transparent exopolymer particles (TEP) in aquatic environments,
Prog. Oceanogr., 55, 287–333, 2002.
Passow, U. and Alldredge, A. L.: A dye-binding assay for the
spectrophotometric measurement of transparent exopolymer particles (TEP) in
the ocean, Limnol. Oceanogr., 40, 1326–1335, 1995.
Perring, A. E., J. P. Schwarz, D. Baumgardner, M. T. Hernandez, D. V.
Spracklen, C. L. Heald, R. S. Gao, G. Kok, G. R. McMeeking, J. B. McQuaid,
D. W. Fahey.: Airborne observations of regional variation in fluorescent
aerosol across the United States, J. Geophys. Res.-Atmos., 120, 1153–1170,
https://doi.org/10.1002/2014JD022495, 2015.
Pöhlker, C., Huffman, J. A., and Pöschl, U.: Autofluorescence of atmospheric bioaerosols – fluorescent biomolecules and potential interferences, Atmos. Meas. Tech., 5, 37–71, https://doi.org/10.5194/amt-5-37-2012, 2012.
Pöschl, U., Martin, S. T., Sinha, B., Chen, Q., Gunthe, S. S., Huffman, J. A., Borrmann, S., Farmer, D. K., Garland, R. M., Helas, G., Jimenez, J. L., King, S. M., Manzi, A., Mikhalov, E., Pauliquevis, T., Petters, M. D., Prenni, A. J., Roldin, P., Rose, D., Schneider, J., Su, H., Zorn, S. R., Artaxo, P., and Andreae, M. O.: Rainforest Aerosols as Biogenic Nuclei of Clouds and Precipitation in the Amazon, Science, 329, 5998, 1513–1516, 2010.
Robinson, E. S., Gao, R.-S., Schwarz, J. P., Fahey, D. W., and Perring, A. E.: Fluorescence calibration method for single-particle aerosol fluorescence instruments, Atmos. Meas. Tech., 10, 1755–1768, https://doi.org/10.5194/amt-10-1755-2017, 2017.
Saliba, G., Chen, C.-L., Lewis, S., Russell, L. M., Rivellini, L.-H.,
Lee, A. K. Y., Quinn, P. K., Bates, T. S., Haëntjens, N., Boss, E. S.,
Karp-Boss, L.,
Baetge, N., Carlson, C. A., and Behrenfeld, M. J.: Factors driving the seasonal and
hourly variability of sea-spray aerosol number in the North Atlantic, P.
Natl. Acad. Sci. USA, 116, 20309–20314, 2019.
Santander, M. V., Mitts, B. A., Pendergraft, M. A., Dinasquet, J., Lee, C., Moore, A.
N., Cancelada, L. B., Kimble, K. A., Malfatti, F., and Prather, K. A.: Tandem
Fluorescence Measurements of Organic Matter and Bacteria Released in Sea
Spray Aerosols, Envrion. Sci. Technol., 55, 5171–5179, 2021.
Šantl-Temkiv. T., Sikoparija, B., Maki, T., Carotenuto, F., Amato, P.,
Yao, M., Morris, C. E., Schnell, R., Jaenicke, R., Pöhlker, C., DeMott, P. J., Hill, T. C. J., and Huffmann, J. A.: Bioaerosol field measurements: Challenges and
perspectives in outdoor studies, Aerosol Sci. Tech., 54,
520–546, 2019.
Savage, N. J., Krentz, C. E., Könemann, T., Han, T. T., Mainelis, G., Pöhlker, C., and Huffman, J. A.: Systematic characterization and fluorescence threshold strategies for the wideband integrated bioaerosol sensor (WIBS) using size-resolved biological and interfering particles, Atmos. Meas. Tech., 10, 4279–4302, https://doi.org/10.5194/amt-10-4279-2017, 2017.
Stein, A. F., Draxler, R. R, Rolph, G. D., Stunder, B. J. B., Cohen, M. D., and
Ngan, F.: NOAA's HYSPLIT atmospheric transport and dispersion modeling
system, B. Am. Meteorol. Soc., 96, 2059–2077, 2015.
Taketani, F., Kanaya, Y., Nakamura, T., Koizumi, K., Moteki, N., and
Takegawa, N.: Measurement of Fluorescence Spectra from Atmospheric Single
Submicron Particle Using Laser-induced Fluorescence Technique, J. Aerosol.
Sci., 58, 1–8, 2013.
Thornton, D. C. O.: Coomassie stainable particles (CSP): protein containing
exopolymer particles in the ocean, Front. Mar. Sci., 5, 206, https://doi.org/10.3389/fmars.2018.00206, 2018.
Warneck, P.: Chemistry of the Natural Atmosphere, Academic, San Diego, 1999.
Wilson, T. W., Ladino, L. A., Alpert, P. A., Breckels, M. N., Brooks, I. M.,
Browse, J., Burrows, S. M., Carslaw, K. S., Huffmann, J. A., Judd, C.,
Kilthau, W. P., Mason, R. H., McFiggans, G., Miller, L. A., Nájera, J. J.,
Polishchuk, E., Rae, S., Schiller, C. L., Si, M., Temprado, J. V., Whale, T. F., Wong, J.
P. S., Wurl, O., Yacobi-Hancock, D., Abbatt, J. P. D., Aller, J. Y.,
Bertram, A. K., Knopf, D. A., and Murray, B. J.: A marine biogenic source of atmospheric
ice-nucleating particles, Nature, 525, 234–238, https://doi.org/10.1038/nature14986,
2015.
Wurl, O. and Holmes, M.: The gelatinous nature of the sea-surface
microlayer, Mar. Chem., 110, 89–97, https://doi.org/10.1016/j.marchem.2008.02.009, 2008.
Zamanillo, M., Ortega-Retuerta, E., Nunes, S., Rodríguez-Ros, P., Dall'Osto, M., Estrada, M., Montserrat Sala, M., and Simó, R.: Main drivers of transparent exopolymer particle distribution across the surface Atlantic Ocean, Biogeosciences, 16, 733–749, https://doi.org/10.5194/bg-16-733-2019, 2019.
Short summary
Atmospheric autofluorescent particles observed over the central Pacific Ocean were identified as bioaerosols from comparisons to a DNA-nuclear-staining method. Their number concentrations in the pristine marine air masses showed high correlations with concentrations of bacteria and transparent exopolymer particles in the surface seawater, providing strong evidence of their marine origins. We propose equations to derive the atmospheric bioaerosol number concentrations from oceanic parameters.
Atmospheric autofluorescent particles observed over the central Pacific Ocean were identified as...
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